Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...
Abstract: The ubiquity of Graph Neural Networks (GNNs) emphasizes the imperative to assess their resilience against node injection attacks, a type of evasion attacks that impact victim models by ...
There is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only on the releases page. See the Config file to set the search paths for ...
JsonContributionGraph/ ├── generate.py # HTML generation script ├── requirements.txt # Python dependencies ├── .env # Configuration (create from .env.example) ├── .env.example # Configuration example ...
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